{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "SCIKIT-learn中的多元线性回归"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=np.random.uniform(-3,3,size=100)\n",
    "X=x.reshape(-1,1)\n",
    "y=0.5*x**2+x+2+np.random.normal(0,1,100)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"PolynomialFeatures模块用于生成多项式特征，可以将原始特征集转换为多项式特征集\"\"\"\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>PolynomialFeatures()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;PolynomialFeatures<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.PolynomialFeatures.html\">?<span>Documentation for PolynomialFeatures</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>PolynomialFeatures()</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "PolynomialFeatures()"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poly=PolynomialFeatures(degree=2)#最高到达2次幂\n",
    "poly.fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "X2=poly.transform(X)#添加X到2次项"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 3)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X2.shape#多加了X的0次幂和X二次幂项"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.00000000e+00, -6.29538496e-01,  3.96318718e-01],\n",
       "       [ 1.00000000e+00,  2.96727455e+00,  8.80471824e+00],\n",
       "       [ 1.00000000e+00, -1.42274079e+00,  2.02419137e+00],\n",
       "       [ 1.00000000e+00,  6.73071623e-02,  4.53025410e-03],\n",
       "       [ 1.00000000e+00,  6.67084210e-01,  4.45001343e-01]])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X2[:5,:]#0次幂，1次幂，2次幂"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.6295385 ],\n",
       "       [ 2.96727455],\n",
       "       [-1.42274079],\n",
       "       [ 0.06730716],\n",
       "       [ 0.66708421]])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X[:5,:]#原数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression#线性模型\n",
    "lin_reg=LinearRegression()\n",
    "lin_reg.fit(X2,y)\n",
    "y_predict=lin_reg.predict(X2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2437bbea460>]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x,y)\n",
    "plt.plot(np.sort(x),y_predict[np.argsort(x)],color=\"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.        , 1.03389574, 0.60633864])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lin_reg.coef_#对第一列（0次幂），第二列（1次幂），第三列（x²）的系数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "关于PolynomialFeatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=np.arange(1,11).reshape(-1,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5, 2)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1,  2],\n",
       "       [ 3,  4],\n",
       "       [ 5,  6],\n",
       "       [ 7,  8],\n",
       "       [ 9, 10]])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "poly2=PolynomialFeatures(degree=2)\n",
    "poly2.fit(X)\n",
    "X2=poly2.transform(X)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  1.,   1.,   2.,   1.,   2.,   4.],\n",
       "       [  1.,   3.,   4.,   9.,  12.,  16.],\n",
       "       [  1.,   5.,   6.,  25.,  30.,  36.],\n",
       "       [  1.,   7.,   8.,  49.,  56.,  64.],\n",
       "       [  1.,   9.,  10.,  81.,  90., 100.]])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"0次幂，X1,X2;X1²;X1X2;X2²\"\"\"\n",
    "X2#第一列（0次幂）；第二、三列（原数据，1次幂）；第三、五列（原数据的2次幂）；第四列（两列原数据相乘）\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5, 10)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"3次幂\"\"\"\n",
    "poly3=PolynomialFeatures(degree=3)\n",
    "poly3.fit(X)\n",
    "X3=poly3.transform(X)\n",
    "\"\"\"1,X1,X2,X1²,X2²,X1X2,X1²X2,X1X2²,X1三次方,X2三次方\"\"\"\n",
    "X3.shape#有10项\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pipline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=np.random.uniform(-3,3,size=100)\n",
    "X=x.reshape(-1,1)\n",
    "y=0.5*x**2+x+2+np.random.normal(0,1,100)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.pipeline import Pipeline#将多个数据处理步骤串在一起\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\"\"\"将三个数据处理步骤（多项式、标准化、线性回归）串在一起\"\"\"\n",
    "poly_reg=Pipeline([\n",
    "    (\"poly\",PolynomialFeatures(degree=2)),\n",
    "    (\"std_scaler\",StandardScaler()),\n",
    "    (\"lin_reg\",LinearRegression())\n",
    "])\n",
    "#模型训练（三步合一）并预测\n",
    "poly_reg.fit(X,y)\n",
    "y_predict=poly_reg.predict(X)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2437c651c40>]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAh8AAAGdCAYAAACyzRGfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8o6BhiAAAACXBIWXMAAA9hAAAPYQGoP6dpAABKfklEQVR4nO3deVyU1f4H8M+AsogwihuoqOQ1EynNhVzaLFTM1FbNsszbtRvZYt7KrIz4tZjt95ZZWanlVlluLWRpapaGydVCXAmXFFxAZxAFZOb5/XHuIMsM88zMs83M5/16zUsYnmHOPIxzvs853/M9JkmSJBARERFpJETvBhAREVFwYfBBREREmmLwQURERJpi8EFERESaYvBBREREmmLwQURERJpi8EFERESaYvBBREREmmqkdwPqstvtOHLkCKKjo2EymfRuDhEREckgSRJKS0vRtm1bhIQ0PLZhuODjyJEjSEhI0LsZRERE5IVDhw6hffv2DR5juOAjOjoagGh8TEyMzq0hIiIiOaxWKxISEqr78YYYLvhwTLXExMQw+CAiIvIzclImmHBKREREmmLwQURERJpi8EFERESaYvBBREREmmLwQURERJpi8EFERESaYvBBREREmmLwQURERJoyXJExIiIiUofNLiG7oATHSsvROjoCKYmxCA3Rfh81Bh9ERERBICu3EJmr8lBoKa++L94cgYwRSUhLjte0LZx2ISIiCnBZuYVIX5BTK/AAgCJLOdIX5CArt1DT9jD4ICIiCmA2u4TMVXmQnPzMcV/mqjzY7M6OUAeDDyIiogCWXVBSb8SjJglAoaUc2QUlmrXJ4+Bjw4YNGDFiBNq2bQuTyYTly5fX+rkkSXjmmWcQHx+PyMhIpKamYu/evUq1l4iIiDxwrNR14OHNcUrwOPgoKytDjx49MGvWLKc/f/nll/Gf//wH7777Ln799VdERUVh6NChKC/X7kURERGR0Do6QtHjlODxapdhw4Zh2LBhTn8mSRLefPNNPP300xg1ahQA4OOPP0abNm2wfPly3Hbbbb61loiIiDySkhiLeHMEiizlTvM+TADizGLZrVYUzfkoKChAUVERUlNTq+8zm8247LLLsGnTJqePqaiogNVqrXUjIiIiZYSGmJAxIgmACDRqcnyfMSJJ03ofigYfRUVFAIA2bdrUur9NmzbVP6trxowZMJvN1beEhAQlm0RERBT00pLjMXtcL8SZa0+txJkjMHtcL83rfOheZGzatGmYMmVK9fdWq5UBCBERkcLSkuMxOCku8CqcxsXFAQCOHj2K+PjzUdTRo0fRs2dPp48JDw9HeHi4ks0gIiIiJ0JDTOjfuYXezVB22iUxMRFxcXFYs2ZN9X1WqxW//vor+vfvr+RTERERkZ/yeOTj9OnT2LdvX/X3BQUF2LZtG2JjY9GhQwdMnjwZzz//PLp06YLExERMnz4dbdu2xQ033KBku4mIiMhPeRx8/Pbbbxg0aFD19458jfHjx2PevHl4/PHHUVZWhnvvvRenTp3C5ZdfjqysLEREaLd+mIiIiIzLJEmSdsXcZbBarTCbzbBYLIiJidG7OURERCSDJ/0393YhIiIiTTH4ICIiIk0x+CAiIiJNMfggIiIiTTH4ICIiIk0x+CAiIiJNMfggIiIiTTH4ICIiIk3pvqstERERKctmlwyxe60rDD6IiIgCSFZuITJX5aHQUl59X7w5AhkjkpCWHN/AI7XDaRciIqIAkZVbiPQFObUCDwAospQjfUEOsnILdWpZbQw+iIiIAoDNLiFzVR6cbdgm/e/25LI/UFll17hl9TH4ICIi8gM2u4RN+cVYse0wNuUXw2avHWZkF5TUG/Goq6TsHPrNWKP7CAhzPoiIiAxOTh7HsdKGAw+HkrJKpC/IwexxvXTLAeHIBxERkYHJzeNoHR3h0e/NXJVXb/REKww+iIiIDMpdHgdwPohISYxFvDkCchbUSgAKLeXILihRrrEeYPBBRERkUO7yOGoGEaEhJmSMSPLo98udqlEagw8iIiKDkhscOI5LS47H7HG9EBvVWNbjPJ2qUQqDDyIiIoOSGxzUPC4tOR6bp6UiNirM5fEmiITVlMRYX5voFQYfREREBuUuj8NVEBHWKAQv3pgM0/+OqfsYAMgYkaRbyXUGH0RERAZVM4/D0yDCMQUTZ649ehJnjtB1mS0AmCRJ0medjQtWqxVmsxkWiwUxMTF6N4eIiEh3vuzXotUmc5703ww+iIiI/IDRd6r1pP9mhVMiIiI/EBpiQv/OLfRuhiKY80FERESaYvBBREREmmLwQURERJpi8EFERGRANruETfnFWLHtMDblFyuzCZzdDtx7L/Dzz77/Lh8w4ZSIiMhgfFla26B33gHmzAEWLwYOHABiWeGUiIgo6GXlFiJ9QU69DeWKLOVIX5CDrNxC737x7t3A44+Lr198UbfAA2DwQUREZBg2u4TMVXlwNsHiuC9zVZ7nUzDnzgF33gmcPQukpgKTJvnaVJ8w+CAiIjKI7IKSeiMeNUkACi3lyC4o8ewXv/ACsGUL0KwZMHcuEKJv98/gg4iIyCCOlboOPLw5DgDw66/A88+Lr2fPBtq396JlymLwQUREZBCtoyPcH+TBcSgrE9MtNhtw223iZgAMPoiIiAwiJTEW8eaIejvYOpggVr2kJMpMFn30UWDvXjHa8c47SjXTZww+iIiIDCI0xISMEUkAUC8AcXyfMSJJ3oZyX38NvPuu+HrePKB5c6Wa6TMGH0REZDiqFNjyE2nJ8Zg9rhfizLWnVuLMEZg9rpe8Oh9FRcCECeLryZOBa69VvqE+YJExIiIyFNUKbPmRtOR4DE6KQ3ZBCY6VlqN1tJhqkTXiYbeLwOP4ceCSS4AZM9RvsIcYfBARkWE4CmzVHedwFNiSfeUfAEJDTOjfuYXnD3zrLSArC4iIABYtEv8aDKddiIjIEFQrsBVMfv/9fBXTV18FunfXtz0uMPggIiJDUK3AVrA4exYYOxaorASuvx64//7qHxkth4bTLkREZAiqFNgKJo89BuTlAW3aAB9+CJhEfogRc2g48kFERIageIGtYPLVV8CsWeLr+fOB1q0BqLhJnY8YfBARkSEoXmArWNRdVjt0KABj59Aw+CAiIkNQtMBWsLDbgbvvBk6cqLes1sg5NAw+iIjIMBQpsBVM/vMf4LvvxHLaxYtrLas1cg4NE06JiMhQfCqwFUy2bwemThVfv/YakJRU68dGzqFh8EFERIbjdYGtYHH2LHD77WJZ7YgRQHp6vUMcOTRFlnKneR8miBElPXJoOO1CRETkbx59VCyrjYurtay2JiPn0DD4ICIi8idffQW88474ev58oFUrl4caNYeG0y5ERET+ouay2kceAYYMcfsQI+bQMPggIiLyBzWX1fbo4dFutUbLoVF82sVms2H69OlITExEZGQkOnfujOeeew6SxI2AiIiIvPb66+eX1S5aBISH690iryk+8jFz5kzMnj0b8+fPR/fu3fHbb79hwoQJMJvNeOihh5R+OiIiosCXnQ1Mmya+/ve/6y2r9TeKBx+//PILRo0aheHDhwMAOnXqhMWLFyM7O1vppyIiIgp8Fgtw221AVRVw663AxIl6t8hnik+7DBgwAGvWrMGePXsAANu3b8fGjRsxbNgwp8dXVFTAarXWuhEREREASQLuvRcoKAA6dQLef9/pslp/o/jIxxNPPAGr1YqLLroIoaGhsNlseOGFF3DHHXc4PX7GjBnIzMxUuhlERET+78MPgc8+Axo1EuXTmzXTu0WKUHzk47PPPsPChQuxaNEi5OTkYP78+Xj11Vcxf/58p8dPmzYNFoul+nbo0CGlm0REROR/duwAHLmSzz8P9Ounb3sUZJIUXoaSkJCAJ554ApMmTaq+7/nnn8eCBQuwa9cut4+3Wq0wm82wWCyIiYlRsmlERESasNkl3+pqnDkDpKSIAGTwYCArCwgxdl1QT/pvxaddzpw5g5A6Jyg0NBR2u13ppyIiIjKcrNxCZK7Kq7Wdfbw5AhkjkuRXFH3oIRF4xMUBn3xi+MDDU4q/mhEjRuCFF17A119/jf3792PZsmV4/fXXceONNyr9VERERIaSlVuI9AU5tQIPACiylCN9QQ6ycgvd/5IFC87v17JwIdCmjUqt1Y/i0y6lpaWYPn06li1bhmPHjqFt27YYO3YsnnnmGYSFhbl9PKddiIjIH9nsEi6fubZe4OHg2EV249RrXE/B7NoF9OkDlJUBGRnAs8+q1l6ledJ/Kx58+IrBBxER+aNN+cUYO2ez2+MWT+znvNT52bPAZZcBf/wBDBoEfP89EBqqQkvV4Un/HViTSERERDo5Vup8xEP2cZMni8CjdWsx3eJHgYenGHwQEREpoHV0hPuDXB23ePH5AmILFwLx+mx1rxUGH0RERApISYxFsyaNGzymWZPGSEmMrX3nrl3nS6Y/9RSQmqpSC42DwQcREZFG6qWZnjkD3HKLSDAdNMivEkx9weCDiIhIAdkFJTh15lyDx5w8cw7ZBSXiG0kC7r//fD2PRYsCOs+jJgYfRERECvA44XTuXGD+fFFAbPFiEYAECcUrnBIREQUjjxJOf/8dcGxD8vzzwNVXK94en0u8q4jBBxERkQJSEmMRb45AkaUczgpoOYqMpbRoBAy7BSgvB4YNA6ZOVbwtipR4VxGnXYiIiBQQGmJCxogkAPUTSx3fZ1zfDaET/wHs3QskJKiyb4siJd5VxuCDiIhIIWnJ8Zg9rhfizLWnYOLMEZg9rhfSfvgUWLoUaNwY+PxzoIWTSqc+sNklZK7Kczry4rgvc1UebHZ9i5tz2oWIiEhBacnxGJwUVz/f4pefgcceEwe98YYopa6w7IISl3vLACIAKbSUI7ugxHmJd40w+CAiIlJYaIipdud+9CgwejRgswFjx4oltirwucS7RjjtQkREpKaqKuC224DCQqBbt/Nl1FXgU4l3DTH4ICIiUtPTTwPr1gFNmwJffin+VYljxY2r0MYEseqlXol3jTH4ICIiUsvy5cDMmeLrDz4ALrpI1aeTteJmRJLu9T4YfBARUVCz2SVsyi/Gim2HsSm/WLmVIHv3AuPHi68nTwbGjFHm97rhdsWNAep8mCRJ0ne9TR1WqxVmsxkWiwUxMTF6N4eIiAKYasW4Tp8G+vUT+7Zcfjmwdq1YXqshrSucetJ/M/ggIqKg5CjGVbcTdHTPXo8SSJJY2bJ0qdivJScHiPfs9xi5NLornvTfXGpLRERBx10xLhNEMa7BSXGed/ovvXS+kNjSpR4HHkYvja4E5nwQEVHQ8aQYl0e++QZ46inx9dtvAwMHevRwfyiNrgQGH0REFHRUKca1Zw9w++1i2uWf/wTuvdejNvlLaXQlMPggIqKgo3gxLqsVGDUKsFjEaMd//uNxm1QbjTEgBh9ERBR0FC3GZbcDd94J7NoFtGsn8jzCwjxuk7+URlcCgw8iIgo6ihbj+r//A1auBMLDgWXLxAoXL/hLaXQlMPggIqKgpEgxruXLgcxM8fW77wJ9+3rdHn8pja4ELrUlIqKglZYcj8FJcd7V1MjLE9MtAPDQQ8Ddd/vUFsdoTPqCHJiAWomnRiqNrgQGH0REpBkjFs8KDTGhf+cWnj3o5EmRYHr6NHD11cCrrzo9TO7rdRxXUWXH5NQLsTj7IIqs53M74gKszgeDDyIi0kTAFM+y2cSS2n37gI4dgc8+c1o6Xe7rdXZcXEw4Hkntgk4towwTpCmJOR9ERKS6gCqe9fTTQFYWEBkpEkxbtap3iNzX6+q4o9YKvPnDXoQ3CkH/zi0CKvAAGHwQEZHKAqp41mefifLpAPDhh8Cll9Y7RO7rrayyB8558RCDDyIiUlXAFM/avh2YMEF8/dhjwNixTg+T+3o/2bQ/MM6LFxh8EBGRqgKieNaJE8ANNwBnzgBDhgAzZrg8VO7rOFByRtZxhj4vXmLwQUREqvL74llVVcCYMcD+/cAFFwCLFwOhoS4Pl/s6OsY2kXWcYc+LDxh8EBGRqvy+eNbjjwNr1wJRUcCKFUBsw+2U+3rv7N/Jv8+LDxh8EBGRqhQtZa61jz4C3nhDfP3xx0BystuHyH29YY1C/Pe8+IjBBxERqU6RUuZaW78euO8+8fUzzwA33ST7oXJfr1+eFwWYJEky1Boeq9UKs9kMi8WCmJgYvZtDREQKMmKFU6fy84GUFKCkBBg9WuR5hHh+ve7s9QKQdZ8hz0sDPOm/WeGUiIg041UpcwXJCn4sFuD660Xg0bcvMG+eV4EHUP/1BkyVVx8x+CAioqAgq+OvqhIjHbt2Ae3awbZsObKPnMGx0hKfRyQc1UzrTjc4qp4G8jRLXZx2ISKigOeq43eEEdUd/4MPAm+/DTRpgp/nLcOj+0IVGaWw2SVcPnOty6JiJog8j41Tr/G76RYHT/pvJpwSEZHfsdklbMovxopth7Epv7jBEuRyy53bZ80SgQeAnBffwrit5xTbiyZgqrwqhNMuRETkVzzNm5DT8XfetgmmL54FANhfeAGTznSEhPqPkSBGKTJX5WFwUpzsUYqAqPKqII58EBGR3/Bmd1x3HXrn4kN4Z8VLMNlswJ134tfR9yo+SuH3VV4VxuCDiIj8gre74zbUoceeseCjpZmIqSiDtVcKMGcOjp2ukNUeT0Yp/L7Kq8IYfBARkV/wNm/CVccfXlWJOV88h46ninC4eRyivl4JhIerMkrh11VeVcDgg4iI/IK3eRPOOn6TZMerX7+B3kd2wRIehT/nfYrQuDYA1BulCNZqps4w4ZSIiPyCLyMSjo7fkaj6r58WYMSun1AVEord78zDFSOvrD7WEaykL8iBCag1zePrKEVacjwGJ8X5fTVTXzH4ICIiv+AYkSiylDvN+3DUynA1IuHo+Atefgt/2/QZACBkzhyk/P0Wp8fWDFYc4hSoRqp3lVcjYPBBRER+QYkRidC1a/C36f8S3zz9NEL+PsHlsRylUA8rnBIRkV/xen+U7duBK64ASkuBsWOBhQsBEwMJpXBjOSIiClg1RySKLGdRUlaJ2KbhMEeGwWaXnI9MHDwIXHedCDyuugqYO5eBh44YfBARkd8JDTHBcrYSL3+32/0IyMmTwLBhwJEjQPfuwPLlQHi49o2maqostT18+DDGjRuHFi1aIDIyEhdffDF+++03NZ6KiIiCkOxKpxUVwI03Anl5QNu2wDffAM2aad9gqkXx4OPkyZMYOHAgGjdujG+//RZ5eXl47bXX0Lx5c6WfioiIgpDsSqdVNuDuu4H164HoaBF4dOigYUvJFcWnXWbOnImEhATMnTu3+r7ExESln4aIiIKU3EqnRfdPRrslS4BGjYAvvwR69NCukdQgxUc+Vq5ciT59+uDWW29F69atcemll2LOnDkuj6+oqIDVaq11IyIickVOpdPxW1eh3Zy3xTcffgikpqrcKvKE4sHHn3/+idmzZ6NLly747rvvkJ6ejoceegjz5893evyMGTNgNpurbwkJCUo3iYiIAoi7SqdD9/yCjB/eF988/zxw110atIo8oXidj7CwMPTp0we//PJL9X0PPfQQtmzZgk2bNtU7vqKiAhUV53cQtFqtSEhIYJ0PIiJyymaXcPnMtU4rnfb6aycWffoUIqoqYZ84ESHvvccltRrxpM6H4iMf8fHxSEpKqnVft27dcPDgQafHh4eHIyYmptaNiIjIFVc7xHYuPoQPv/g/RFRV4tiVqQh55x0GHgalePAxcOBA7N69u9Z9e/bsQceOHZV+KiIiClJ1d4iNs57Ax58+g+blpTiV3BOtv1kuEk3JkBT/yzzyyCMYMGAAXnzxRYwePRrZ2dl4//338f777yv9VEREFMQclU63bvsTF40ejpjS45AuvBDN1q4GoqL0bh41QJW9Xb766itMmzYNe/fuRWJiIqZMmYKJEyfKeiz3diEiItnOngWGDAE2bgTi44FffgE6ddK7VUHJk/6bG8sREZF/qqoCbr4ZWLkSMJuBDRuASy7Ru1VBS9eEUyIiItVJEnDvvSLwiIgQ/zLw8BsMPoiIyL9IEvD442Jn2pAQYMkS4Mor9W4VeYDBBxER+ZeXXwZefVV8/cEHwKhR+raHPMbgg4iI/MecOcATT4ivX30VmDBB3/aQVxh8EBGRf/j8c+C++8TXTzwB/Otf+raHvMbgg4iIjO/bb4E77gDsdmDiRODFF/VuEfmAwQcRERnbhg3ATTcB584BY8YAs2ezbLqfY/BBRETG9dtvwPXXA+XlwPDhwCefAKGhereKfMTgg4iIjCkvD0hLA0pLgauvFjkfjRvr3SpSAHfdISIi4/nzTyA1FSguBvr2FUXEIiPrHWazS8guKMGx0nK0jo5ASmIsQkM4JWN0DD6IiMhYDh4ErrkGKCwEkpNFsml0dL3DsnILkbkqD4WW8ur74s0RyBiRhLTkeC1bTB7itAsRERnH4cMi8DhwAOjSBVi9GmjRot5hWbmFSF+QUyvwAIAiSznSF+QgK7fQ6a+32SVsyi/Gim2HsSm/GDa7obY3Cxoc+SAiImMoKgKuvRbIzwcSE4G1a8VOtXXY7BIyV+XBWdggATAByFyVh8FJcbWmYDhSYhwc+SAiolp0GR04flzkeOzeDXToIAKP9u2dHppdUFJvxKMmCUChpRzZBSXV93k7UkLq4MgHERFV02V0oKQEGDwY2LEDaNtWBB6dOrk8/Fip68DD2XHejpSQejjyQUREAHQaHbBYgKFDge3bgTZtRODRuXODD2kdHSHrVzuO82akhNTF4IOIiNyODgBidEDRKZjSUlHH47ffgJYtgTVrgK5d3T4sJTEW8eYIuBqjMEGM1qQkxgLwfKSE1Mfgg4iItB8dKCsTFUs3bwaaNwd++AHo3l3WQ0NDTMgYkQQA9QIQx/cZI5Kqp1A8HSkh9TH4ICIibUcHzp4FRo4EfvoJiIkRy2l79PDoV6Qlx2P2uF6IM9cOGOLMEZg9rlet/BRPR0pIfUw4JSIi7UYHysqAG24QuR1NmwLffQf06ePVr0pLjsfgpDi3FU4dIyXpC3JgAmpNLTkbKSH1ceSDiIi0GR0oLQWGDRNTLFFRwDffAP36ef/7IAKL/p1bYFTPdujfuYXLAMKTkRJSH0c+iIhI/dGBU6dE4LF5s5hqycoC+vf3rdEekjtSQuozSZJkqNqyVqsVZrMZFosFMTExejeHiCiofPP7ETy9IhclZeeq7/O5zkdxMTBkCJCTA8TGihyP3r0VajEZhSf9N0c+iIiChLsdYLNyC/Hc1ztrBR6xUWGYPjwJg5PisCm/2PMRg6NHReXS3FygVSsx5XLJJWq8PPIjDD6IiIKAu8qljgJjdYfCT5ZV4v5FOWjWpDFOnfFwNOTwYbFXy+7dYo+WNWuAbt0UfmXkj5hwSkQU4NxVLv3m9yNuC4zVDDxqPtZl1dMDB4Arrzy/V8uGDQw8qBqDDyKiACancunTK3IbLDDmTINVT/ftA664AvjzT+CCC0Tg8be/edp0CmAMPoiIApicyqU1czw84bTq6c6dYsTj0CFRKn3DBqBjR69+PwUuBh9ERAFMi/1Kqp/j99+Bq64CCguB5GRg/XqgXTvVn5/8D4MPIqIAJrciaWxUmMsCY7KeY+tWYNAg4Phx4NJLgR9/FLvUEjnB4IOIKIDJrVyaObK707yQhlRXPS3aDVxzDVBSIiqWrl0rdqklcoHBBxFRAJOzA+zIHvF48ZudTh/fvEnjBh/7ZpwFoUOHAFaryPVYvRpo1kyJplMAY/BBRBTgGtrX5N4rE/H+hgKXSakv3JCMd1089rMLrLhs0jixWVxqKvDtt0B0tGqvgwIHy6sTEdXhrhKov6r7unp3bI6rXvnRZeBhgggyNk69BgBqn5MdvyD01luAykpg+HBg6VIgwscdb8mvsbw6EZGX3FUC9WeOHWAdNuUXu12G61hK279zi/OPXboUGDsWqKoCbroJWLwYCAtTufUUSDjtQkT0P+4qgbqs5umn5C7DrXXcwoXAmDEi8Bg7Fvj0UwYe5DEGH0REkFcJ1Gk1Tz8mdxlu9XEffgjceSdgtwMTJgCffAI04gA6eY7BBxER5FUCrVfN08/JXYab0qk58NJLwD/+AUgSkJ4OfPABEBqqZXMpgDD4ICKCl1MQfk7OMtyM4Rch9NF/AdOmiTsefxyYNQsIYfdB3uO7h4gIXkxBBIiGluG+OyYZaS9PBd58U9z5+uvAzJmAyf9X/pC+OFlHRITzUxBFlnKneR+OZacpibFaN011acnxGJwUV3spbetwsZT2u+9EXsfcucC4cbq2M1CXQAcjBh9ERDg/BZG+IAcmoFYAUj0FMSIpYDu7WstwT5wABqcCv/4KNGkiltYOG6Zr+wJ5CXQwCqoiY4yaicgdNTs5v/gMKigA0tKAPXuA2Fjg66/Ffi06ciyBrttZOc7c7HG9kJYc7x/nN4CxyJgTjJqJSA6nUxAKdGJ+8RmUkwNcdx1w9CjQoQOQlQV066Zrk9wtgTZBLIG22yU89/VOY59fqhYUIx9yo2YiIjX4xWfQ6tXAzTcDp08Dl1wi9mlp21bfNkFUYR07Z7NXjzXU+Q0CnvTfAb/aJRgLBxGRcfjFZ9CHH4oRj9OngWuuATZsMETgAfi2tNkw55fqCfjgIxgLBxGRcRj6M8huB556ShQPs9nEapZvvwXMZu3bUoPNLmFTfjFWbDuME6UVPv0ufsYbU8DnfARj4SAiMg7DfgaVl4sS6UuWiO+feQZ49lnda3g4y40JMQG+DlzwM95YAj74CNbCQURkDIb8DCouBm64Adi4UdTw+OADYPx47Z7fBVe5Ma4Cj7pLohvCz3hjCfhpF9l7FwRg4SAi0p/hPoP27QP69xeBh9ksiogZIPBoKDfGoe6CozhzBN65vZexzi/JEvAjH8FeOIiI9GWoz6CNG8WIR3Ex0LEj8M03QFKS+s8rg7vcGECMgEwf3g0to8NrLYEOCYExzi/JFvAjH0DDexdwCRZRcKiZxLgpv1jT1Q+G+AyaN0+sZCkuBvr2BTZvNkzgAcjPyWgZHY5RPduhf+cW1QGFIc4veUT1kY+XXnoJ06ZNw8MPP4w3HZsT6UCtwkFEZHxGKPCl22eQzQZMnQq89pr4/pZbgPnzRdl0A/E1N4af8f5F1eBjy5YteO+993DJJZeo+TSy1dq7gIiCgqskxiJLOdIX5Gh6Zaz5Z5DVCtx+uyiRDgAZGWJVS4jxBr2V2NiPn/H+Q7V34OnTp3HHHXdgzpw5aN68uVpPQ0Tkkl8U+FLLn38CAwaIwCMiQiypffZZQwYewPncGAD1kkeZuxF4VHsXTpo0CcOHD0dqamqDx1VUVMBqtda6EREpwdAFvtS0YQOQkgLs2CEqlf70EzBmjN6tcou5G8FDlWmXJUuWICcnB1u2bHF77IwZM5CZmalGM4goyBm2wJeaPvwQSE8Hzp0D+vQBli8H2rXTu1WyMXcjOCgefBw6dAgPP/wwvv/+e0REuE8gmjZtGqZMmVL9vdVqRUJCgtLNIqIgZMgCX2o5dw547DHg3/8W348eDcyda7jEUjmYuxH4FA8+tm7dimPHjqFXr17V99lsNmzYsAFvv/02KioqEBoaWv2z8PBwhIeHK90MIiJFkhj9wrFjIthYv158/+yzIrFU51LpRK4oHnxce+21+OOPP2rdN2HCBFx00UWYOnVqrcCDiKgmm11SdLjdUAW+fOTy3GzZAtx0E/DXX0B0NPDxx6KQGJGBKR58REdHIzk5udZ9UVFRaNGiRb37iYgc1KrF4UhirPu74zSu8+ELV+fm/artuPiFJ4GKCqBrV2DZMqBbNx1bSiRPwJdXJyLjU7MWh80uwRwZhsfTLkLJ6QrERoUhzhzpN0mMzs5NY9s53P/5O7j4v9+IO0aNEiMeMTG6tJHIU5oEH+vWrdPiaYjID7mrxWGCqMUxOCnO42ChodEUfwg8nJ2bVqdLMHv5DPQ5vBN2mPBB6njcs/QDhDbilDb5D2NWmyGioKFWLQ7HiEHd3+0YTcnKLfSmuZqqe276HsrFV/Mno8/hnbCGR+GeW57Bi71vQfaBUz49j5773lBw4rQLEelKjVocao6maMnxmkPsNty/+XM8snERQiU79rTogHtvegr7Y9vVOs4bRtj3hoIPRz6ISFdq1OIIlMqmraMj0Or0SXz82TN49KcFCJXs+LL7INxw12vVgYfjOG8EwugQ+SeOfBCRrhy1OBoKFuI9rMURKJVNU/ZtxXfzHkRs2SmcaRyO6YPvxxcXX1v9c1/qlATK6BD5J458EJGuQkNMGNmj4eH9kT3iPeoA/b6yaVUV8OSTCB2WhtiyU9jVqhNG3vVmvcAD8L5OSaCMDpF/YvBBRLqy2SWs3N7w8P7K7YUeJUE6RlNcdckmeD6aopmDB4GrrgJmzAAkCbjvPhz8Zg3KOnepdZivm60FyugQ+SdOuxCRrtxdgQPnr8Dl7vehV2VTnyu0rlwJ3H03cPKkqNnxwQfArbdiCIBreyUqWv3V70eHyK8x+CAiXal1Ba51ZVOfVo1UVABTp57fFK5PH+DTT4ELLqg+ROnN1oJm3xsypKAPPuRcqSi93wQRnafmFbhW27P7VKF13z5gzBggJ0d8P2WKmHIJC1O0jXUF0r435H+COviQc6XCNfBE6lL7Clzt7dl9WjWyZAlw771AaSkQGwvMnw9cf71qba0rEPa9If9kkiTJUKXsrFYrzGYzLBYLYlTcp8DVlYrjo2H2uF4A4PYY/uck8p3j/yPg/ArcyP/XNuUXY+yczW6PWzyx3/kg6MwZ4OGHRU4HAFxxBbBoEdC+vYotdY2ju6QET/rvoBz5kHOl8uzKHQBMXANPpAG1rsC16FQ9zlnJywNGjwZ27ABMJuDpp4FnngEa6fdxrPboEFFdQRl8yFnfXmStaPB31FwDz/+0RL5TOj9DqylT2TkrUWHA228Djz8OnD0LxMUBCxYA117r/sFEASYogw8l1637yxp4DquSP1DqCtynBFAPyclZuUSyol/67cCaH8SdQ4YAH38MtGmjSBuI/E1QBh9Krlv3hzXwTJqlYKJ12fAGV41IEm7asRYvbfgQplIrEBEBzJwJPPAAEMIajxS8gvLdL6f6YVxMOOJi/LRCYg3cOIoCiZyt3/UoG+7IWYkzn78YiT1jwdyvZuK1r99A41IrcNllwLZtwEMPMfCgoBeUIx9y1rc/O7I7APj1GnhuHEWBRO4Inl5lw2vmrISsXI5ezz+BxiUngMaNgWefhe3Rx5B9yIpj2w5z6pOCXlAGH4D87Hp/XgPvyRUgk2bJyDzJ4dCzbHjoqZPon/kI8Mkn4o7kZOCTT5DVqA0yX9vAqU+i/wna4AOQl13vTQa+UZI7uXEUBQJPR/B0Kxv+5ZfA/fcDR4+KJbSPPw5kZiJrb4lmya9E/iKogw9AXna9Jxn4coaGtQpOAn3jKKMEeaQuT0fwtCob7nj/nTrwF/q+loGW36wQP+jWDfjoI6BfP059ErkQXMHH8uXAgAFA69aq/Ho5Q8MANFt5EsgbR3EFT/DwZgRP7bLhWbmFyFy5AymbspCxZg5iz1pRFRKCA/c8iM5vzQTCwwFw6pPIleAJPnbuFJs3NW0KvP46cNddYmhUIXKucJ748g9YzpzTbPg1UDeO0rKGA+nP2xE8tTaVy8otxIy3vsbM1e/gyv3/BQDktU7EY9dNRl5sZ8zeW1L9/uPUJ5FzwbPeq6pKDIeWlAB33y2qCu7Zo9ivl3OFc8pJ4OH4GSBGRJwtHXRGzpJDwPkSQEBcAfpjJ+0uyAM8O49kfHKWxrta9u6YMh3Vs131lIwvbOUV2D/lKXz30SRcuf+/qAhtjFeuuBOj7nodO9p0BlD7/RfoU59E3gqekY+LLwa2bBGjHpmZwI8/ivueegqYOrV6mNRbvl65eDL86umUg1bbimuBw9jBxzAjeD/9hIoJ/8B9+eKiZUOnSzF9SDoONG9bfUjd918gT30S+SJoRj5sdgmbDlqxYug45Hz9E6QhQ4HKSiAjA+jZE1i3zqffr9SVi7sgxtuiYUpfAeqFw9jBSdcRvJISYOJE4Mor0SR/D443aYaHRjyKu0b/X63AoybH+88ROAGoN3Ljz1OfRL4KipEPpyMFVz2K2amj0PPVZ4Fdu4BBg4DbbgNeecWrba3dXeHI1VAQw8x5DmM7BONKH81H8CQJWLgQmDIFOH4cAHB0zJ0Y0uY6WCKjG3xozfef2smvSgnG9xTpJ+CDD5fJidYK3IgOmPPlOqQufAt4911gyRJg1Spg+nTgkUeAsDDZz9PQ0LAccoZfOeUQ2Ct45ArmlT6abf2+fTswefL5EdGkJOC999BywEA0mbkWVg/ff1oETr4ED8H8niJ9BPS0i5zkxOkbjsD29izgt9+A/v2BsjLgiSdEPsjq1R49n6uhYbmfL+6GXznlwGFsPfbqkZvcHBCOHwfuuw/o1UsEHhERwIsvAv/9L3D55T69/9Sc+szKLcTlM9di7JzNeHjJNoydsxmXz1wr6/3A/Z9IDwEdfHi0wVSvXsDGjcD8+WKb6z17gKFDgZtuAvbvl/2cacnx2Dj1Giye2A//vq0npg/vBjmf1ZNTL3R7heGPUw5qdFyBtoJHLj1W+vjSqfmVykrgjTeALl2A994D7HaxNH/XLmDatFqjoEZ7//kSPHD1GOkloKddPB4pCAkR9T9GjRIrYv7zH2DZMuDbb8UH0GOPAZGRbn9fzaHhFdsOy2pDp5ZN3B7jb1MOag7lBtIKHrm0nnYLmnoq334rpll37xbfX3op8O9/A1dc4fIhRnn/+ZoHxqlc0ktAj3x4PVJgNosludu3i0TU8nKxKqZbN+DTT0UimtptcMKfphy0GMoNlBU8cmk57WaEK2LVp3t27waGDweuu0583bo1MGeOWJLfQODhYIT3n0eju05wKpf0EtDBhy/FiQAA3bsDa9aIgKN9e+DAAbEiZuBA4NdftWlDHUYb8nXGCB1XINJy2s3XTs1XSkz3uAxeTp0SK1iSk4FvvhFb3j/6qJhq/cc/gNBQVV6TGnwNHvxxKpcCQ0BPuyhSnMhkAkaPBq6/HnjtNeCll4BNm4B+/YCbbwZeeAHo2lXdNtRhlCFfVziUqw4tp930vCJWYrrH2ZRf+6aN8V7lNnSf/Qpw4oS40/H/+sILFX4V2vA1ePC3qVwKHAE98gEoOFLQpIlYgrt3ryjPbjIBX3whRkf++U/gyBH121CDEYZ8XeFQrjo8mXbzdcpCrytiJUbN6k35SRIG792MeW/cg+7PTRWBR7duQFaWWFrvR4FH3b9r747NfRpZ9aepXAosJknyIIFBA1arFWazGRaLBTExMYr9XsUL6OTmAk8+KT68AJGIOnky8PjjQLNm2rRBB3Jew6b8Yoyds9nt71o8sR9HPrzgLpFXiURfm13C5TPXur0i3jj1GkXfw76+dxztdrz23n/l4Yl189D3cB4AoCQyBvOuvRMPL30doeHy6/gYgau/68ge8Xh/QwEA5yOr3o4Usc4HecqT/jtogg/VbNwo9ob55RfxfWysCEomTRI1AgKI3A8oLTquQAjkfOHq9buasvCkI3Jw/C7A+07NUyu2HcbDS7a5Pe7ft/XEqJ7t6t3vCF6Sjv6Jf/30Ca7N3wIAKG8Uho/6jMTsfreiNDzK7wJfd3/Xe69MxMrthT4HnMH8f4p8x+BDa5IErFwpgo48cYWFhASxXPfOO4FG/p9a42mnpmbHxas05+pe9dflTdCn9bn2deRj7ec/oOLpDAzbIy4Gqkwh+OySwfj3wLE4Gt2y+jhXwYsRyf27rn9sELYeOMnggXTD4EMvNhvw8cfAM88Af/0l7uvcWeSK3HGH3wYh3nZqanRcSl7ZBxq1pru0vCL2etQsN1cE+0uXAgDsMOGrblfgjcvvQEFs/SDDn0Y+tJjG5KgHKcGT/ts/e0OjCg0FJkwQy3HfeQeYORPIzxcJqs8/L4KQ22/3uyDE29UrSq/K4cZ6DVMr0Vez/VTgxeqwnTtF0PHZZ9X1d364+Cq83Hc09rTqWO/3++PqDbUTuDmSSHoI+NUuuoiMBP71L6CgQAQgLVsC+/YB48eLDao+/hioqtK7lbL58uGn5KocvWtPGF2g1GyQtTps924xmti9+/nCfzffDPz+OyoXLHYZeAD+t3pDzb8r93UhvTD4UFNUlFj9UlAg6oO0aCGW6o4fL2qDvP8+UFGhdyvdMkqnZrQlvEbbcE3pgnZ6qrtH0uKJ/bBx6jVIqzoqRha7dQMWLRJBx403Atu2AUuXIsvUEs99nef0dxqpEJ8n1Pq7shgg6YnBhxaaNhUrYvbvF0FIq1bAn3+K+iCJicArrwAWi96tdMkonZpRgiDAmBuuBVrNhupRsx5t0f/wDoReP1zsu+IY6Rg5EsjJAb78EujRw+VVvMP04d38LvAA1Pu7ciSR9MTgQ0s1g5A33gDatQMKC8XoSPv2YnMrD3bQ1YpROjWjBEFGHqrWsvy+6iM/drtYRXb55cBVV4kN4EJCgLFjxUjHihUiGEHDV/GAeG889/VOv72KV+PvarSRRAouXO2ip8pKYMECUd7ZsUQ3JETMXU+ZIkq4G4gREtP0qD1RkxrLWdWg9uoFVd8LZ8+KvKjXXxf7rQBAeLhI5n70UdgSL6j32rILSoKisJ2Sf1cWAySlcamtv5Ek4LvvxIft99+fv3/AABGE3HCDYTa7MsKSPD2DIH5gq7jcOT8feO894KOPgOJicZ/ZDNx3H/Dww0C86+qtw5Lj8NHP+90+hT/V91CbXlVsKXBxqa2/MZmAtDRx+/13MSWzcKGomvrLLyIvZPJkceUXHa1rU7VcdumKnhvrBftQteLLnauqgK+/BmbPFgG4Q6dO4j3/979Xv+cb2nBOTuABGH+lj5bU2PSSSC7mfBjNJZcAc+cCBw4ATz0lyrUXFIgrv3btgAceAHbs0LuVutNrYz0jJb3qQbEkxaIiUfvmggvEyN53350PwlesEEvTH364OvCQE/Q0uDk1/Gelj5a0zBEiqokjH0YVHy8+nJ98Epg/H3jzTTH/PWuWuF15JZCeDtx0ExDmXxtk+bNg34Lcp5EfSQLWrxejHF9+eb7WTYsWwD33iNVfF1zg9PfJCXocE8i8iveMniOJFLw48mF0TZqIIGPnTpEPcuONIv9jwwaR9e9YJbNtm94tDQpGWfmjF69GfiwW4K23REGwQYNENdKqKpHT9MknYiuCmTNdBh6A/KDnnoGdeBXvBb1GEil4MeFUR14nbx4+DMyZI4qUFdZY1tmjhyhgdscdQOvW6jWcDLHyRw+ykxQfH4TQ7dvEKMeiRcCZM+KAqChg3DgRUPfoIft5PUn0dax+4VU8kba42sUPKNJ5nTsn5srnzxf1ECorxf2hocB114lA5PrrxTJFUpwRVv7ooaHlzi1Pn8Qnkftw0eplInnaoXt34P77ReDhxf9rrswgMj4GHwbn6VJFWZ1cSQmwZIkIRLKzz98fGyumZ8aPB/r0EUl9BCB4gwcl1Ayem1SexZC9mzFmzwb027cVJrtdHBQeLnKS0tNFoTAf33t613ghoobpGnzMmDEDX375JXbt2oXIyEgMGDAAM2fORNeuXWU9PtCDD0+LVHk1QrJzpwhCPvkEOHLk/P1JSWJfjJEjxaoaPwlE1AgSgnXaRDFnzsD21dc4OX8hmq1djUblZ8//rH9/4M47xXuteXNFn5Z/NyLj0jX4SEtLw2233Ya+ffuiqqoKTz75JHJzc5GXl4eoqCi3jw/04MOTuWvL2UrfijnZbMAPP4hAZNkyoLxGwNOhAzBihAhErrrKsFMzanQ2qhXJCnRlZcA33wCffy5qczjyOACgSxfg9ttFvlGXLqo2gyNWRMZkqGmX48ePo3Xr1li/fj2uvPJKt8cbPfjw9YPv/1btkFUQ6Y0xPfFy1i7lynhbLMAXX4gaCt9/L0pYO0RHi/oKI0cCw4aJpY8GoEaQ4G7kCQDiYsLx8xPXskMDxHTet9+K903dgCMxEbj1VnHr3dtvRtKISB2GqnBq+d9urbGxzuseVFRUoKLGtvJWq1XtJnnN16vwrNxC2ZUYS05XyC7mJKviqNksqkX+/e+iA1m7ViSprlolCj59/rm4hYSI+fmRI8VN5atYVxSvpPk/7upFAECRtQJvr92Hh1P1ee26y88X742VK4GffhIjaA6OgGP0aKBXLwYcROQVVYMPu92OyZMnY+DAgUhOTnZ6zIwZM5CZmalmMxTRUGnn9AU5bq/CHZ2pHPHmCMRGySsc5lUZ7yZNxCqY668XO4f+9psIQlauFCsUNmwQt0cfBbp2PR+I9O+v6h4zNUeVTpQqHHz9j9zz9cYPe9A1rmlwTL+UlQHr1gGrV4vVU7t31/55crKYorv5ZgYcRKQIVYOPSZMmITc3Fxs3bnR5zLRp0zBlypTq761WKxISEtRslseUuAqXc8XtkDEiCeZIecGHz2W8Q0KAlBRxe+45YP9+EYisWiU6pN27gVdeEbeWLYHhw0VHNHiwV0smXXE2qiSHp8GXJ+fLm5EVv2C3A9u3nw82Nm4Uy7YdGjUSeUAjR4q/dWKifm0looCkWvDxwAMP4KuvvsKGDRvQvn17l8eFh4cj3KDJjg6e7Gfh6irckwqNacnxsNklfcp4d+oEPPiguFksonNauVIkGp44IZJX588XIyC9e4uKlQMHimqVXuaKuBpVksPT4MtRHl1OkOPNyIoR1MtL6tgMobt2itGsH38UQeWJE7Uf1KkTMHQoMGQIcM01QLNmyjw3k0GJyAnFgw9JkvDggw9i2bJlWLduHRID4KpJiZ1M5XaSqUlxAAyy46TZLOb2R48W5bB//hn2FStQsWwFIvf/KeqJ1Kwp0rWrCEIcwUjXrmJkpQENjSo1xNvgy3Fe7/tfvQh3/G132qzcQrz05X/RYs8O9D68E03+2oHTh3fCfLa09oFRUSLIGDJEBB1/+5tP0yk2u4S31+7D3J8LcOrs+VEULoMlImcUDz4mTZqERYsWYcWKFYiOjkZRUREAwGw2IzIyUumn04QSO5l6syGZY8fJutMRcXp8oDdqhKwWFyKz1XAUjrkW8dbj6H/wd1x2MBe9juxCl+JDYopm926xKy8gajz07y+CkX79gEsvrVf3wZPpqLq8Db7SkuPxSGoXvPHDXrfHGn53WptN1HXJzsbBrHVov+EX/HCsAI0ke63DzjQOx5lefdHy+qFitKpvX8U2JMzKLcQTX/6BU2fO1fuZ3JwoIgouii+1Nbm4epo7dy7uvvtut4834lJbpUo7e1uh0QhD2e6mRpqdtaLXkd14qvlJdN6zXYyI1FzO65CYKIKQXr2Anj2x2tQS964/7vFVd7MmjfHSTRd73aHZ7BIGvrQWRVaFljKrzW4HDh4E8vJEsJGXJ25//CESRus4HtUMOW0vwpb2SdjSvjvy2nRGy9imir+erNxCt6NIhjuXRKQKQ9X58JQRgw9AudLO/lihUU5tDKBOJ2OrEkmNP/8sblu3An/+6fRxp8Misa9Fe+xt0RF7Wybgz9j22N88HoeaxaGikfOrcyUKghmyXHdVlVjq6ggwHP/u2lW7xkZNUVGwdO+BxYjDtrZdsT3+QhRGt3Qa0C2e2E+xHBa57ws1npuIjMdQdT4ChVJTIGnJ8RicFKf7SIYn5E6N1Eu87dNH3B5+WBxw8iSyl63B5qU/oMOBXbjo2H5cUHIYTSvPomfhXvQsrD0NYocJR2Ja4kDzeBxo1hYHm8XhSEwrHIlpiaLoljjatIVPK1J0mday24Hjx8U28ocPi38PHhSB2c6dwJ495zcIrKtxY5FH062bKJWflCSWwXbtinV/FOGlJdvcPr2SOSyeTpn5W/4MEamHwYcHlAocQkNMfnUF6Gmn4er4rMPlSN8TCemSEcAlIwAAjWxV6HiyEF2KD+LCEwfR5cRBdDp5BJ1OHkF05Vm0tx5He+txDDzwe73fZ4cJx5s2R/kn7RDVpoVYoWE2i39rfl33X8fXjRr59je12cTUktUKnDwJnDpV+9+SEhFoHD0q9tj56y+gsLD2slZnmjQBLrrofIDhCDYuuEAsg3VCibwkT6m5zJmIAhuDDw/5W+CgBE87DWfHu1rVUhXaCPktE5DfMgGrLxoIu+MASUIizqD54YPodOoIOpUcQXvrMbS1Hkd86QnElZ5AuK0KbU6XADtLgJ1evLCoKMBsRmiTJujfuLEYWQgJETdJEqMUjltVldgb5+zZ87eqKi+eFGI6JC4OaNdO3Dp0ELkwF10kAo0OHdyuEqrLm4RmX3nyvohXY1k4EfktBh/kltzaGA11cHKG6O0SMH14N7SMDkfr6AjY7RLu+PBX5LTvVv+5JDtanLEgrrQYr1wZh25NJDHiYLHU/tfZfY4EzbIyp8maHgsNFaMpzZufH1lp3lzcWrcGWrUC2rYVgUb79iLwaNzY9+et2QQdlma7C3hqPr/qy8JrMEKCNhE1jMEHuVWzY3OXneyqk5E7RN8yOhyjerYDgAYLrUmmEBRHNUfjtvG48O5rAE86l3PnxFSJxSKmR86eBc6dw5a9RVi46QBOnS6HZAqB3WRCs6YRuHNgIlI6twIiI+vfIiLEvwYoOa51DktDAY9D8yaNMcOHVUme8seEbqJgxNUuJFtDJdDdfcBvyi/G2Dmb3T5H3RURWq1IUWMHXbmUvlLX+srf2fuiWWRjTBjYCQ9c00WzUQc9/4ZExKW2pCJHx1ZkOYuSskrENg1HXIz7Ds6XWilqX826WzKqZp0KX16bkaYX9G6Lnn9DIhK41JZU423CrS85CWovT1Zi7x5v+LJTstGmF/ROxNbrb0hE3vEspZ7IB46chDhz7VUSceYIt0Pijs5tVM926N+5haJXr0rs3eMpdzslA2JXXZu9/hGOoKVuZ+sIWrJyCxVrp7/Q429IRN7jyAdpyohF1vSokeHtlbq7oMUE+FR4zUg8mcrR429IRN5j8EGa03uIvi41a2S46kC9vVIPlukFT6eV9KhzQkTeY/BBQU+tGhkNdaDeXqkHw/SCN7kwetQ5ISLvMeeDCL7lozjjLi/jZFkl4s0RcNUVmuC8KmigTy/4kguj9N+QiNTDkQ+i/1EqH0VOXsZzX+dh+vBumLTovx5dqQf69IKv00pGzCkiovoYfBDVUDcfxWaXsCm/2KOOTG4H2jwq3OOKpL5OL+hdj8MdJaaVjJZTRET1MfggcsHbWhpFVvkd6Kie7Ty+Uve2jLqWtUG8DXICfVqJiARWOCVywttS3Vm5hXhy2R8oKTvn9jnqlpL3lCcdvJalx32t2uptJVwi0pcn/TcTTonq8Dbp0dHBuws8XCWTekpu4TVfkjg95WsBNMe0EoB6ybhctUIUOBh8ENXhSdKjQ0MdfE16dKDevB5vKBXkcNUKUeBjzgdRHd4kPbrr4B1io8Lwwo3JmnagWtUGUbIAGletEAU2Bh9EdXiT9Ci34356eDfNr9y1SuJUOsjhqhWiwMVpF6I6HLU0PCkAJrfjjjNH+t5AD3nzerzBlSpEJBeDD/JbjhocK7Ydxqb8YkUSJgHvkh616uC9Iff1APDpfBr5HBCRsXCpLfklLWpWePocjpUegPPiX3onSzb0egAocj6Nfg6ISD2e9N8MPsjvaFmzwtNiWVoW8vKGs9fzfV6RoufT6OeAiNTB4IMClqMIlatVFUYoQmX0EuY1qXU+/ekcEJEyPOm/udqF/IqSyznV4k+rNNQ6n/50DohIe0w4Jb+iVc2KYMHzSUR6YPBBfoXLOZXF80lEemDwQX6Fyzk919CSZJ5PItIDcz7IrzhqVqQvyIEJzpdzcuOx89ytPOH5JCI9cOSD/A43HpNH7g6zPJ9EpDUutSW/xeWcrnmzhJbnk4h8waW2ZHhKdHRczumaN0toeT6JSCsMPkhzrICpPi6hJSIjY84HaUpuHgL5hktoicjIGHyQZmx2CZmr8urtIQKcX2WRuSpPsd1pgxmX0BKRkTH4IM14kodAvnEsoQVQLwDhEloi0lvQBB8NFVoibTAPQVtcQktERhUUCadMcDQG5iFoLy05HoOT4riElogMJeCDD0eCY91xDkeCI68AtePIQyiylDvN+3DUnmAegrK4hJaIjCagp12Y4GgszEMgIiIgwIMPJjgaD/MQiIgooKddmOBoTMxDICIKbgEdfDDB0biYh0BEFLwCetqFhZaIiIiMJ6CDDyY4EhERGU9ABx8AExyJiIiMJqBzPhyY4EhERGQcQRF8AExwJCIiMoqAn3YhIiIiY2HwQURERJpSLfiYNWsWOnXqhIiICFx22WXIzs5W66mIiIjIj6gSfHz66aeYMmUKMjIykJOTgx49emDo0KE4duyYGk9HREREfkSV4OP111/HxIkTMWHCBCQlJeHdd99FkyZN8NFHH6nxdERERORHFA8+KisrsXXrVqSmpp5/kpAQpKamYtOmTfWOr6iogNVqrXUjIiKiwKV48HHixAnYbDa0adOm1v1t2rRBUVFRveNnzJgBs9lcfUtISFC6SURERGQguq92mTZtGiwWS/Xt0KFDejeJiIiIVKR4kbGWLVsiNDQUR48erXX/0aNHERcXV+/48PBwhIeHK90MIiIiMijFRz7CwsLQu3dvrFmzpvo+u92ONWvWoH///ko/HREREfkZVcqrT5kyBePHj0efPn2QkpKCN998E2VlZZgwYYIaT0dERER+RJXgY8yYMTh+/DieeeYZFBUVoWfPnsjKyqqXhEpERETBxyRJkqR3I2qyWq0wm82wWCyIiYnRuzlEREQkgyf9t+6rXYiIiCi4MPggIiIiTTH4ICIiIk0x+CAiIiJNMfggIiIiTamy1JaI3LPZJWQXlOBYaTlaR0cgJTEWoSEmvZtFRKQ6Bh9EOsjKLUTmqjwUWsqr74s3RyBjRBLSkuN1bBkRkfo47UKksazcQqQvyKkVeABAkaUc6QtykJVbqFPLiIi0weCDSEM2u4TMVXlwVtnPcV/mqjzY7Iaq/UdEpCgGH0Qayi4oqTfiUZMEoNBSjuyCEu0aRUSkMQYfRBo6Vuo68PDmOCIif8Tgg0hDraMjFD2OiMgfMfgg0lBKYizizRFwtaDWBLHqJSUxVstmERFpisEHkYZCQ0zIGJEEAPUCEMf3GSOSWO+DiAIagw8ijaUlx2P2uF6IM9eeWokzR2D2uF6s80FEAY9Fxoh0kJYcj8FJcaxwSkRBicEHkU5CQ0zo37mF3s0gItIcp12IiIhIUww+iIiISFMMPoiIiEhTDD6IiIhIUww+iIiISFMMPoiIiEhTDD6IiIhIUww+iIiISFMMPoiIiEhThqtwKkkSAMBqtercEiIiIpLL0W87+vGGGC74KC0tBQAkJCTo3BIiIiLyVGlpKcxmc4PHmCQ5IYqG7HY7jhw5gujoaJhMymyyZbVakZCQgEOHDiEmJkaR3xnIeL7k47nyDM+XfDxXnuH5kk+tcyVJEkpLS9G2bVuEhDSc1WG4kY+QkBC0b99eld8dExPDN6UHeL7k47nyDM+XfDxXnuH5kk+Nc+VuxMOBCadERESkKQYfREREpKmgCD7Cw8ORkZGB8PBwvZviF3i+5OO58gzPl3w8V57h+ZLPCOfKcAmnREREFNiCYuSDiIiIjIPBBxEREWmKwQcRERFpisEHERERaSoog4+RI0eiQ4cOiIiIQHx8PO68804cOXJE72YZzv79+3HPPfcgMTERkZGR6Ny5MzIyMlBZWal30wzrhRdewIABA9CkSRM0a9ZM7+YYyqxZs9CpUydERETgsssuQ3Z2tt5NMqQNGzZgxIgRaNu2LUwmE5YvX653kwxrxowZ6Nu3L6Kjo9G6dWvccMMN2L17t97NMqzZs2fjkksuqS4u1r9/f3z77be6tCUog49Bgwbhs88+w+7du/HFF18gPz8ft9xyi97NMpxdu3bBbrfjvffew44dO/DGG2/g3XffxZNPPql30wyrsrISt956K9LT0/VuiqF8+umnmDJlCjIyMpCTk4MePXpg6NChOHbsmN5NM5yysjL06NEDs2bN0rsphrd+/XpMmjQJmzdvxvfff49z585hyJAhKCsr07tphtS+fXu89NJL2Lp1K3777Tdcc801GDVqFHbs2KF9YySSVqxYIZlMJqmyslLvphjeyy+/LCUmJurdDMObO3euZDab9W6GYaSkpEiTJk2q/t5ms0lt27aVZsyYoWOrjA+AtGzZMr2b4TeOHTsmAZDWr1+vd1P8RvPmzaUPPvhA8+cNypGPmkpKSrBw4UIMGDAAjRs31rs5hmexWBAbG6t3M8iPVFZWYuvWrUhNTa2+LyQkBKmpqdi0aZOOLaNAY7FYAICfUTLYbDYsWbIEZWVl6N+/v+bPH7TBx9SpUxEVFYUWLVrg4MGDWLFihd5NMrx9+/bhrbfewj//+U+9m0J+5MSJE7DZbGjTpk2t+9u0aYOioiKdWkWBxm63Y/LkyRg4cCCSk5P1bo5h/fHHH2jatCnCw8Nx3333YdmyZUhKStK8HQETfDzxxBMwmUwN3nbt2lV9/GOPPYb//ve/WL16NUJDQ3HXXXdBCpJir56eKwA4fPgw0tLScOutt2LixIk6tVwf3pwvItLWpEmTkJubiyVLlujdFEPr2rUrtm3bhl9//RXp6ekYP3488vLyNG9HwJRXP378OIqLixs85oILLkBYWFi9+//66y8kJCTgl19+0WX4SWuenqsjR47g6quvRr9+/TBv3jyEhARMzCqLN++tefPmYfLkyTh16pTKrTO+yspKNGnSBEuXLsUNN9xQff/48eNx6tQpjjo2wGQyYdmyZbXOG9X3wAMPYMWKFdiwYQMSExP1bo5fSU1NRefOnfHee+9p+ryNNH02FbVq1QqtWrXy6rF2ux0AUFFRoWSTDMuTc3X48GEMGjQIvXv3xty5c4Mu8AB8e28REBYWht69e2PNmjXVnajdbseaNWvwwAMP6Ns48muSJOHBBx/EsmXLsG7dOgYeXrDb7br0fQETfMj166+/YsuWLbj88svRvHlz5OfnY/r06ejcuXNQjHp44vDhw7j66qvRsWNHvPrqqzh+/Hj1z+Li4nRsmXEdPHgQJSUlOHjwIGw2G7Zt2wYA+Nvf/oamTZvq2zgdTZkyBePHj0efPn2QkpKCN998E2VlZZgwYYLeTTOc06dPY9++fdXfFxQUYNu2bYiNjUWHDh10bJnxTJo0CYsWLcKKFSsQHR1dnUNkNpsRGRmpc+uMZ9q0aRg2bBg6dOiA0tJSLFq0COvWrcN3332nfWM0X1+js99//10aNGiQFBsbK4WHh0udOnWS7rvvPumvv/7Su2mGM3fuXAmA0xs5N378eKfn68cff9S7abp76623pA4dOkhhYWFSSkqKtHnzZr2bZEg//vij0/fQ+PHj9W6a4bj6fJo7d67eTTOkv//971LHjh2lsLAwqVWrVtK1114rrV69Wpe2BEzOBxEREfmH4JvAJyIiIl0x+CAiIiJNMfggIiIiTTH4ICIiIk0x+CAiIiJNMfggIiIiTTH4ICIiIk0x+CAiIiJNMfggIiIiTTH4ICIiIk0x+CAiIiJNMfggIiIiTf0/JFhaAIBUpkoAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x,y)\n",
    "plt.plot(np.sort(x),y_predict[np.argsort(x)],color=\"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
